Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Recommendation algorithms aim at proposing “next” pages to a user based on her current visit and the past users’ navigational patterns. In the vast majority of related algor...
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Domain-oriented sentiment lexicons are widely used for finegrained sentiment analysis on reviews; therefore, the automatic construction of domain-oriented sentiment lexicon is a f...